既有機構案例大量存在於影片、動畫、圖像與工程實例中，但其描述格式不一，難以進行一致比較與分類。本研究以既有機構案例為資料來源，提出一套功能－運動結構化表示方式，將案例中的層級、參照關係、輸入與輸出端點、運動型態、連續性、方向性、軸向關係及接頭序列整理為現有機構資料卡。
本研究內容著重於現有機構案例之功能－運動表示與模組分類，目的在於建立一套由現有機構案例資料化、候選模組萃取、模組資料卡建立至案例應用之流程。首先，針對現有機構案例建立資料化表示解析方法，將原本分散於影片或圖像中的機構資訊整理為現有機構資料卡，不同案例能依相同欄位進行比較與後續模組萃取。
為使分類結果可比較，本研究建立模組資料卡，記錄模組名稱、類型、輸入與輸出運動特性、軸線關係、可逆性、限制條件及來源案例，並以8×8輸入－輸出運動矩陣呈現模組的分類位置，該矩陣用於人工索引與比較。
在應用方面以既有案例進行模組分解與替換示範，說明功能－運動表示與模組分類如何支援案例分析及候選構型比較，將模組資料卡依輸入與輸出運動特性配置8×8矩陣中，作為候選模組查詢之索引，並建立需求單元、模組特性與組合檢核流程。當現有機構案例被拆解為需求單元後，可由8×8矩陣取得符合輸入輸出運動代碼之候選模組，再透過模組資料卡與現有機構資料卡進行軸向關係、層級參照坐標系、分支輸出與安裝限制檢核，示範結果僅初步顯示分類欄位用於描述其他機構案例及比較可能的替代模組。
三個應用案例說明所建立之資料化流程應用性。應用流程包含原案例資料卡建立、需求單元拆解、候選模組查詢、可用模組篩選、模組替換後與等效性檢核。三個案例分別應用基本二層機構替換、分支輸出需求，以及特殊安裝基準限制。結果顯示，現有機構資料卡作為需求單元來源，模組資料卡與8×8矩陣支援候選模組查詢，而等效性檢核避免僅依輸入輸出代碼即判定模組可替換之問題。本研究的主要成果為：（1）提出既有機構案例的功能－運動結構化表示方式；（2）由502個案例歸納52個正式模組及其分類資料；（3）以案例示範分類結果在機構分析與候選模組比較上的初步用途；尚未涵蓋完整尺寸設計、動力分析、干涉檢查與最佳化設計。未來可進一步擴充案例庫、導入半自動影像辨識、補充幾何與時序參數，強化候選構型評估方法。

Existing mechanism cases are widely available in videos, animations, images, and engineering examples, but their information is difficult to compare and classify when it remains in unstructured visual forms. This study proposes a function–motion representation and case-derived modular classification method for existing mechanisms. Existing mechanism cases are converted into structured data cards using common fields, including layer relationships, reference relationships, input and output endpoints, motion characteristics, axis relationships, branch characteristics, and joint sequences. Candidate modules are then extracted from these data cards and organized through input–output type classification, name normalization, merging, splitting, and exclusion. A total of 502 cases were analyzed, producing 173 candidate module records, 67 original names, 54 standardized names, and 52 final modules. The modules are recorded as module data cards and arranged in an 8×8 input–output motion matrix for classification and manual indexing. Three representative cases are used to demonstrate demand-unit decomposition, candidate-module comparison, and substitution equivalence checking. The results show that the proposed representation and classification can support mechanism-case analysis and candidate-module comparison at the conceptual design stage, but do not imply automated mechanism synthesis, optimal selection, or complete engineering validation.

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